Synthesis & Logic Optimization · All levels

Congestion-Aware Optimization: Reports & Metrics

Reports & Metrics for Congestion-Aware Optimization.

Reports and metrics

Reports & Metrics for Congestion-Aware Optimization focuses on congestion score, buffered-net density, timing impact in hotspots. The goal is to connect observed QoR movement to mechanism, ownership, and regression risk.

A report is useful only when it supports decisions. For Congestion-Aware Optimization, read metric movement with baseline context and expected budget.

Metric movement

diagram
QOR TREND — Congestion-Aware Optimization

metric quality
  ^
  |                      target band
  |                o  o  o
  |            o
  |      o  regression
  +----------------------------------> synthesis iteration
   baseline    tuning     signoff-ready

Track: congestion score, buffered-net density, timing impact in hotspots
  • Track congestion score, buffered-net density, timing impact in hotspots with exact run manifests.

  • Keep timing/area/power side-by-side in review dashboards.

  • Require one-sentence mechanism hypothesis for every major delta.

  • Store before/after artifacts with owner signoff.

Synthesis deep dive

Physical-aware synthesis reduces logic-to-route surprise when correlation is monitored.

Concept diagram

diagram
PHYSICAL-AWARE LOOP

topo compile -> congestion hints -> handoff -> PD correlation

Metric graph

diagram
CORRELATION DELTA

logic view WNS      ███████
topo view WNS       █████
route trial WNS     ████

Reports and artifacts

  • topo QoR

  • congestion heatmap

  • handoff manifest

  • delta compare vs PD

Mini case study

Topo compile looked clean, but hotspot congestion predicted route failure and prevented late ECO churn.

Debug branches

  • Check hotspot ownership

  • Bound correlation drift

  • Escalate if handoff assumptions stale

Senior review question

Ask: what evidence proves this QoR move is real and stable?

Key takeaways

  • State exact run context (RTL, SDC, libs, switches) with every QoR claim.

  • Re-run timing, area, and power regressions after each synthesis ECO.

Common pitfalls

  • Comparing runs with mismatched constraints or library views.

  • Timing-only fixes that violate power or area budgets.

  • Skipping equivalence checks after structural changes.

Report reading lens